Uploaded image for project: 'Data Management'
  1. Data Management
  2. DM-19828

Investigate oddness in error propagation with meas_mosaic's photoCalib

    XMLWordPrintable

    Details

    • Type: Story
    • Status: Done
    • Resolution: Done
    • Fix Version/s: None
    • Component/s: meas_mosaic
    • Labels:
      None
    • Story Points:
      3
    • Epic Link:
    • Sprint:
      DRP S19-6b
    • Team:
      Data Release Production

      Description

      In working on DM-19189, I have been looking at the S/N distributions of the various fluxes  (raw instrumental and calibrated) from single frame processing (where here S/N = flux/fluxErr from the catalog).  The S/N distributions look as expected for the raw instrumental fluxes, the calibrated values based on application of the photoCalib of jointcal outputs, and the meas_mosaic solution using the "old style" calibration (i.e. using meas_mosaic's own applyMosaicResultsExposure() function – which uses the persisted fcr dataset to apply the calibration).  However, the S/N distribution when applying the photoCalib from meas_mosaic is not at all as expected (plots to be attached). Look further into this pathology and what might be causing it.

        Attachments

          Issue Links

            Activity

            lauren Lauren MacArthur created issue -
            lauren Lauren MacArthur made changes -
            Field Original Value New Value
            Link This issue blocks DM-19189 [ DM-19189 ]
            lauren Lauren MacArthur made changes -
            Status To Do [ 10001 ] In Progress [ 3 ]
            lauren Lauren MacArthur made changes -
            Description In working on DM-19189, I have been looking at the S/N distributions of the various fluxes  (raw instrumental and calibrated) from single frame processing (where here {{S/N = flux/fluxErr}} from the catalog).  The S/N distributions look as expected for the raw instrumental fluxes, the calibrated values based on application of the photoCalib of {{jointcal}} outputs, and the {{meas_mosaic}} solution using the "old style" calibration (i.e. using {{meas_mosaic}}'s own {{applyMosaicResultsExposure()}} function to apply the calibration).  However, the S/N distribution when applying the {{photoCalib}} from {{meas_mosaic}} is not at all as expected (plots to be attached). Look further into this pathology and what might be causing it. In working on DM-19189, I have been looking at the S/N distributions of the various fluxes  (raw instrumental and calibrated) from single frame processing (where here {{S/N = flux/fluxErr}} from the catalog).  The S/N distributions look as expected for the raw instrumental fluxes, the calibrated values based on application of the photoCalib of {{jointcal}} outputs, and the {{meas_mosaic}} solution using the "old style" calibration (i.e. using {{meas_mosaic}}'s own {{applyMosaicResultsExposure()}} function – which uses the persisted {{fcr}} and {{wcs}} datasets to apply the calibration).  However, the S/N distribution when applying the {{photoCalib}} from {{meas_mosaic}} is not at all as expected (plots to be attached). Look further into this pathology and what might be causing it.
            lauren Lauren MacArthur made changes -
            Description In working on DM-19189, I have been looking at the S/N distributions of the various fluxes  (raw instrumental and calibrated) from single frame processing (where here {{S/N = flux/fluxErr}} from the catalog).  The S/N distributions look as expected for the raw instrumental fluxes, the calibrated values based on application of the photoCalib of {{jointcal}} outputs, and the {{meas_mosaic}} solution using the "old style" calibration (i.e. using {{meas_mosaic}}'s own {{applyMosaicResultsExposure()}} function – which uses the persisted {{fcr}} and {{wcs}} datasets to apply the calibration).  However, the S/N distribution when applying the {{photoCalib}} from {{meas_mosaic}} is not at all as expected (plots to be attached). Look further into this pathology and what might be causing it. In working on DM-19189, I have been looking at the S/N distributions of the various fluxes  (raw instrumental and calibrated) from single frame processing (where here {{S/N = flux/fluxErr}} from the catalog).  The S/N distributions look as expected for the raw instrumental fluxes, the calibrated values based on application of the photoCalib of {{jointcal}} outputs, and the {{meas_mosaic}} solution using the "old style" calibration (i.e. using {{meas_mosaic}}'s own {{applyMosaicResultsExposure()}} function – which uses the persisted {{fcr}} dataset to apply the calibration).  However, the S/N distribution when applying the {{photoCalib}} from {{meas_mosaic}} is not at all as expected (plots to be attached). Look further into this pathology and what might be causing it.
            lauren Lauren MacArthur made changes -
            Reviewers Jim Bosch, John Parejko [ jbosch, parejkoj ]
            Status In Progress [ 3 ] In Review [ 10004 ]
            lauren Lauren MacArthur made changes -
            Link This issue relates to DM-20053 [ DM-20053 ]
            lauren Lauren MacArthur made changes -
            Story Points 3
            lauren Lauren MacArthur made changes -
            Epic Link DM-16680 [ 235240 ]
            jbosch Jim Bosch made changes -
            Status In Review [ 10004 ] Reviewed [ 10101 ]
            lauren Lauren MacArthur made changes -
            Resolution Done [ 10000 ]
            Status Reviewed [ 10101 ] Done [ 10002 ]

              People

              Assignee:
              lauren Lauren MacArthur
              Reporter:
              lauren Lauren MacArthur
              Reviewers:
              Jim Bosch, John Parejko
              Watchers:
              Jim Bosch, John Parejko, Lauren MacArthur, Yusra AlSayyad
              Votes:
              0 Vote for this issue
              Watchers:
              4 Start watching this issue

                Dates

                Created:
                Updated:
                Resolved:

                  Jenkins

                  No builds found.